Remote AI Data Engineer — Build Scalable ML Pipelines

Speechify Inc.; Polska; Hybrid; PLN 544.000 - 777.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Asynchronous culture

Distributed team

Impactful work

Zusammenfassung

Speechify Inc. is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next‑generation AI products.

You will work on petabyte-scale datasets, blending engineering, infrastructure, and research to create efficient, scalable data systems. The ideal candidate has 5+ years in backend software engineering, strong Python and Bash skills in Linux, and experience with data pipelines and production systems.

Qualifikationen

• Degree in Computer Science or related field, or equivalent practical experience.
• 5+ years of professional software engineering experience with backend fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, ideally with data pipelines or large-scale processing.
• Strong problem-solving, initiative, and ability to work independently in ambiguity.

Aufgaben

• Discover new sources of audio data and build reliable pipelines for training datasets.
• Build and optimize large-scale data-processing systems for quality, throughput, and cost.
• Collaborate with AI Scientists to improve training datasets and models.
• Take ownership of projects from discovery to implementation and improvement.

Kenntnisse

Python

Bash

Data pipelines

Production systems

Problem solving

Ausbildung

Bachelor's degree or equivalent

Tools

GCP

Terraform

Jobbeschreibung

Speechify Inc. is seeking a Software Engineer - AI Data to join its AI team and build data pipelines powering model training and next‑generation AI products.

You will work on petabyte-scale datasets, blending engineering, infrastructure, and research to create efficient, scalable data systems. The ideal candidate has 5+ years in backend software engineering, strong Python and Bash skills in Linux, and experience with data pipelines and production systems.